#!/usr/bin/env python # Copyright 2025 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from dataclasses import dataclass, field from lerobot.cameras import CameraConfig from ..config import RobotConfig @RobotConfig.register_subclass("so100_follower") @dataclass class SO100FollowerConfig(RobotConfig): # Port to connect to the arm port: str disable_torque_on_disconnect: bool = True # `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes. # Set this to a positive scalar to have the same value for all motors, or a list that is the same length as # the number of motors in your follower arms. max_relative_target: int | None = None # cameras cameras: dict[str, CameraConfig] = field(default_factory=dict) # Set to `True` for backward compatibility with previous policies/dataset use_degrees: bool = False @RobotConfig.register_subclass("so100_follower_end_effector") @dataclass class SO100FollowerEndEffectorConfig(SO100FollowerConfig): """Configuration for the SO100FollowerEndEffector robot.""" # Path to URDF file for kinematics # NOTE: It is highly recommended to use the urdf in the SO-ARM100 repo: # https://github.com/TheRobotStudio/SO-ARM100/blob/main/Simulation/SO101/so101_new_calib.urdf urdf_path: str | None = None # End-effector frame name in the URDF target_frame_name: str = "gripper_frame_link" # Default bounds for the end-effector position (in meters) end_effector_bounds: dict[str, list[float]] = field( default_factory=lambda: { "min": [-1.0, -1.0, -1.0], # min x, y, z "max": [1.0, 1.0, 1.0], # max x, y, z } ) max_gripper_pos: float = 50 end_effector_step_sizes: dict[str, float] = field( default_factory=lambda: { "x": 0.02, "y": 0.02, "z": 0.02, } )